João Sedoc

139 total papers · 1.7k total citations
56 papers, 615 citations indexed

About

João Sedoc is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, João Sedoc has authored 56 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 10 papers in Social Psychology and 10 papers in Sociology and Political Science. Recurrent topics in João Sedoc's work include Topic Modeling (29 papers), Natural Language Processing Techniques (19 papers) and Mental Health via Writing (9 papers). João Sedoc is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (19 papers) and Mental Health via Writing (9 papers). João Sedoc collaborates with scholars based in United States, Germany and France. João Sedoc's co-authors include Lyle Ungar, Smisha Agarwal, Sven Buechel, Johannes C. Eichstaedt, David B. Yaden, Robb Willer, H. Andrew Schwartz, Elizabeth Cameron Stade, Shannon Wiltsey Stirman and Robert J. DeRubeis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and IEEE Access.

In The Last Decade

João Sedoc

50 papers receiving 591 citations

Hit Papers

Large language models cou... 2024 2026 2024 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
João Sedoc 303 116 106 70 60 56 615
Tanvi Banerjee 190 0.6× 133 1.1× 79 0.7× 94 1.3× 120 2.0× 49 673
Mahmood Alzubaidi 152 0.5× 60 0.5× 79 0.7× 62 0.9× 67 1.1× 49 680
Juan Martı́nez-Miranda 165 0.5× 158 1.4× 131 1.2× 99 1.4× 76 1.3× 44 575
Benjamin Erb 121 0.4× 78 0.7× 156 1.5× 83 1.2× 153 2.5× 31 518
Jasmin Niess 74 0.2× 112 1.0× 139 1.3× 50 0.7× 94 1.6× 69 693
Kael Rowan 128 0.4× 126 1.1× 226 2.1× 136 1.9× 100 1.7× 24 675
Maia Jacobs 121 0.4× 52 0.4× 105 1.0× 18 0.3× 109 1.8× 32 568
Nicole Martinez‐Martin 59 0.2× 60 0.5× 170 1.6× 95 1.4× 72 1.2× 23 605
Thomas D. Hull 61 0.2× 169 1.5× 202 1.9× 155 2.2× 68 1.1× 38 558
Kiran Ijaz 65 0.2× 44 0.4× 59 0.6× 23 0.3× 76 1.3× 32 596

Countries citing papers authored by João Sedoc

Since Specialization
Citations

This map shows the geographic impact of João Sedoc's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by João Sedoc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Sedoc more than expected).

Fields of papers citing papers by João Sedoc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Sedoc. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by João Sedoc. The network helps show where João Sedoc may publish in the future.

Co-authorship network of co-authors of João Sedoc

This figure shows the co-authorship network connecting the top 25 collaborators of João Sedoc. A scholar is included among the top collaborators of João Sedoc based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with João Sedoc. João Sedoc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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